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July 5 2021

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Understanding patient complaint characteristics using contextual clinical BERT embeddings (42nd IEEE EMBC 2020)

To understand patient complaints in conversational applications, we propose a two-fold approach using Word2vec and BERT to detect the characterizations of entities like symptoms presented by general users in contexts where they would describe their symptoms to a clinician.

5th August 202020th August 2021

Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation (29th ACM CIKM 2020)

To address continuous large-scale evaluation of diagnostic systems, we proposed a novel patient vignette simulation algorithm within an iterative clinician-in-the-loop methodology for semi-automatically evaluating and deploying medical diagnostic systems in production.

5th August 202020th August 2021

A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset (19th IEEE/ACM WI-IAT 2020)

To address data imbalance in medical document classification, we propose a probabilistic dictionary-based data augmentation approach by oversampling on the minority class and creating new documents with high variety by using synonyms’ similarities with the original medical entity term.

5th August 202020th August 2021

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Recent Posts

  • Understanding patient complaint characteristics using contextual clinical BERT embeddings (42nd IEEE EMBC 2020)
  • Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation (29th ACM CIKM 2020)
  • A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset (19th IEEE/ACM WI-IAT 2020)
  • Predicting missing and noisy links via neighbourhood preserving graph embeddings in a clinical knowlegebase (19th IEEE ICMLA 2020)

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